Data + GPUs = AI

The best decisions made in any business or organisation are those that are supported by analysis of the data that the company has at its disposal. In most cases, an average business may only ever analyse 10-20% of its data, whether this be sales figures, customer habits, demographic or geographic trends. This is usually because an entire organisation’s data is vast and the compute power and time to achieve more than 20% is too time consuming or costly. The rise of GPU technology delivering hugely parallel compute power and the growth in available data has led to the ability to analyse the majority or even all of an organisation’s data. The huge range of GPU-accelerated products on the market now enable even a single workstation to add value by rapidly analysing datasets, and with larger budgets the sky is the limit when it comes to servers and datacentre computing. This is why the use of AI and deep learning technologies is in exponential growth within every industry sector. Although generative AI products, such as ChatGPT, seem to be making the news headlines for their ability to take prompts and generate reports, music, art and the like - these examples of fully-trained AI models have their limitations as their scope is very wide for maximum appeal. An AI strategy based on your organisation’s data can be much more tailored and specific for your requirements and challenges and thus many times more powerful.